A Library for Support Vector Machines

Known as: LIBLINEAR, LibSVM 
LIBSVM and LIBLINEAR are two popular open source machine learning libraries, both developed at the National Taiwan University and both written in C… (More)
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2015
2015
Support Vector Machines (SVM) is one of machine learning methods that can be used to perform classification task. Many… (More)
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Highly Cited
2011
Highly Cited
2011
LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The… (More)
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Highly Cited
2011
Highly Cited
2011
This paper presents a GPU-assisted version of the LIBSVM library for Support Vector Machines. SVMs are particularly popular for… (More)
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Highly Cited
2008
Highly Cited
2008
LIBLINEAR is an open source library for large-scale linear classification. It supports logistic regression and linear support… (More)
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Highly Cited
2008
Highly Cited
2008
Recent developments in programmable, highly parallel Graphics Processing Units (GPUs) have enabled high performance… (More)
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Highly Cited
2006
Highly Cited
2006
A parallel software for solving the quadratic program arising in training Support Vector Machines for classification problems is… (More)
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Highly Cited
2005
Highly Cited
2003
Highly Cited
2003
Support vector machines (SVMs) are rarely benchmarked against other classi1cation or regression methods. We compare a popular SVM… (More)
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2002
2002
Support Vector Machines (SVMs) are rarely benchmarked against other classification or regression methods. We compare a popular… (More)
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Highly Cited
2001
Highly Cited
2001
 
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